code: def sample(self):
      sample = np.random.normal(self.mu, self.current_sigma, self.size)
      self.n_steps += 1
      return sample
  
file_path: keras-rl/rl/random.py
imports: from __future__ import division
  import numpy
label_desc: Use image node_id 2 for calling the GaussianWhiteNoiseProcess obj's underlying member method code with example usage: obj.sample() and returns: sample